Prevention of Hydrocyclone Choking Through Detection of Sub-Hz Frequency Shift of Vibration Signal

Nayak, Dilip Kumar; Das, Debi Prasad; Behera, Santosh Kumar; Das, Sarada Prasad; Sadangi, J. K.

doi:10.1007/s42417-019-00107-2

Cited by 7 publications

(2 citation statements)

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“…To investigate the real-time monitoring of feed ore hardness and size distribution, some attempts have been reported using vibro-acoustic signal information with promising results as a pathway for solving ore variability fluctuations [6,[12][13][14][15][16][17][18][19][20][21][22]. demonstrated the potential results of classifying two different rock hardnesses (model quartz and iron ore) in a laboratory ball-mill batch grind study using an acoustic sensing approach [12].…”

Section: Introductionmentioning

confidence: 99%

“…They observed unique acoustic emissions for distinguishing the five minerals in the mill. In another study, Nayak, Das [14] reported that four different mineral ores can be classified based on their differential hardness in a laboratory mill by investigating their vibration signal signatures. Regarding feed size distribution, Das, Das [15] reported that a higher vibration signal was associated with coarser feed size relative to finer feed size distribution in a 1000 mm × 300 mm laboratory mill equipped with a piezoelectric-type tri-accelerometer.…”

Section: Introductionmentioning

confidence: 99%

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Acoustic Sensing of Fresh Feed Disturbances in a Locked-Cycle Laboratory AG/SAG Mill

et al. 2023

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In a large-scale operation, feed ores are introduced into the AG/SAG mill in a continuous mode at a given flow rate to replace the discharging slurry. Nonetheless, the variations in the feed characteristics, typically hardness and size distribution, could cause sudden disruption to the mill operation. This would be challenging to detect in practice, owing to the hostile environment of the mill. In this work, an acoustic sensing-based monitoring technique was utilized in a laboratory-scale AG/SAG mill locked-cycle study to keep track of fluctuations caused by feed ore heterogeneity. Analysis of the recorded mill acoustic response using statistical root mean square (RMS) and mill discharge sizes showed that the introduction of fresh feed with varying hardness and size distribution considerably altered the mill product undersize of −150 μm and acoustic emission. Overall, the acoustic sensing technique demonstrated that the AG/SAG mill stability as well as disturbances caused by different feed size fractions and hardness can be monitored using the mill acoustic response, an indication of real-time monitoring and optimisation.

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